a linear function that approximates a differentiable function near a given point by using its value and gradient at that point.
useful for simplifying complex functions and estimating their behavior around a point of interest.
used in various applications, such as numerical methods, error analysis, and machine learning algorithms.
obtained by adding the product of the gradient and the difference between the input variable and the given point to the value of the function at that point.